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103 data publications found

Supplemental materials for the manuscipt: Rapid Construction of Global Pore Network of Tight Sandstone based on Microscale Computerized Tomography Image and Experiment Permeability

Xu. Z. (Zhipeng)

2020

Simulation and analysis data for the paper "Rapid Construction of Global Pore Network of Tight Sandstone based on Microscale Computerized Tomography Image and Experiment Permeability"

Data for the characterisation of carbonate-rich diatomite ores

Guatame-Garcia, Adriana

2019

This dataset contains data collected for the characterisation of carbonate-rich diatomite ores of the Elche de la Sierra deposit (Spain) at Delft University of Technology. The dataset comprises chemical data from X-ray fluorescence, infrared data collected with laboratory and portable...

Interactive python script for estimating stylolite depth of formation

Boersma, Quinten

2020

This folder contains the python code and data presented in appendix A of the Thesis: Natural Fracture Network Characterization: Numerical Modelling, Outcrop Analysis and Subsurface data written by Q.D. Boersma in 2020. The thesis can be found on https://repository.tudelft.nl/. The code can used...

X-ray microtomography of early Iron Age glass beads

Ngan-Tillard, Dominique

2014

The data contain X-ray micro-computed tomography scans of two frothy glass beads found in an urn-field in Zutphen, the Netherlands. It contains the raw data and the interpretation. Also included is a short video (mp4 file) with an explanation and animation of the scans.

Acoustic, mechanical, and microstructure data used in: Ultrasonic Imaging of the Onset and Growth of Fractures within Partially Saturated Whitby Mudstone using Coda-Wave Decorrelation Inversion

Zotz-wilson, Reuben | Douma, L.A.N.R. (Lisanne) | Sarout, J. (Joel) | Dautriat, J. (Jeremie) | Dewhurst, D. N. (David) | Barnhoorn, A. (Auke)

2020

Using active ultrasonic source survey data, Coda-wave Decorrelation (CWD) time-lapse imaging during the triaxial compression of Whitby Mudstone cores provides a 3-D description of the evolution and redistribution of inelastic strain concentrations. Acoustic Emissions (AEs) monitoring is also...

Stress, strain, velocity and attenuation data of shale, limestone and sandstone samples brought to failure

Barnhoorn, Auke | Verheij, J. (Jeroen) | Frehner, M. (Marcel) | Zhubayev, A. (Alimzhan) | Houben, M.E. (Maartje)

2018

The dataset contains the data that is published in the Geophysics paper: Experimental identification of the transition from elasticity to inelasticity from ultrasonic attenuation analyses by Barnhoorn et al. in 2018. It contains stress, strain, velocity and attenuation data of uniaxial...

Supplemental data for the publication: A Cross-System Comparison of Bacterial Dark Carbon Fixation in Coastal Sediments

Vasquez-Cardenas, Diana | Meysman, F.J.R. (Filip) | Boschker, H.T.S. (Henricus)

2020

This study reports 8 new dark carbon fixation rates (DCF) which were compiled into one data set in combination with 27 DCF rates in literature for coastal sediments. Geografical location and DCF rates are listed for the 8 new sites. DCF rates were compared with sediment charactsitics to...

Data underlying the research on: Geochemical and 40Ar/39Ar geochronological raw data for white mica of the Tsakkok Lens, Scandinavian Caledonides

Barnes, Christopher | Camacho, A. (Alfredo) | Wlodek, A. (Adam)

2019

Raw data files for white mica geochemistry and in-situ 40Ar/39Ar geochronology of white mica from the Tsakkok Lens, Seve Nappe Complex, Scandinavian Caledonides

Supplemental data for the paper: Stretching the limits of dynamic and quasi-static flow testing on cohesive limestone powders

Shi, Hao | Lumay, G. (Geoffroy) | Luding, S. (Stefan)

2020

This is the meta data as well as the raw experimental data for the paper: "Stretching the limits of dynamic and quasi-static flow testing on limestone powders" that published in Powder Technology.

Supplementary data for the publication: Late Miocene climate cooling contributed to the disappearance of hominoids in Yunnan region, southwestern China

Li, Pei

2020

The datasets are the geochemical data, which are the major elements of the sediments. It can be used to extract the climate information based on the chemical weathering process.